feeldb

Closeness

2017 · 118 min · Director: Kantemir Balagov ★ IMDb 6.8 · 3,509 ratings

Show plot summary (may contain spoilers)

1998, Nalchik. A Jewish family is in trouble: the youngest son and his bride do not come home, and in the morning, a ransom note arrives. The ransom is so high that the family is forced not only to sell its small business, but also to seek help from its fellow tribesmen.

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Emotional fingerprint

Closeness (2017) — Movie. Top emotional signals: Sadness 30%, Empathy 25%, Anxiety 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Sadness, Empathy, Anxiety. Genres: Drama. AI estimate.

Is it worth watching?

Consider this title if you are looking for Sadness, Empathy and Anxiety. Its IMDb rating of 6.8/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 68/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Sadness
  • Empathy
  • Disturbing

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Empathy

Dominant emotion: Love

Dominant emotion: Tension

Dominant emotion: Sadness

Dominant emotion: Disturbing

Sadness
Empathy
Disturbing
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 48 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensitySadnessEmpathyDisturbing
2.5 %≈ 3′Empathy25 %2 %15 %1 %
7.5 %≈ 9′Love32 %2 %17 %1 %
12.5 %≈ 15′Love40 %4 %20 %1 %
17.5 %≈ 21′Love53 %20 %33 %9 %
22.5 %≈ 27′Tension69 %49 %56 %22 %
27.5 %≈ 32′Sadness71 %59 %66 %25 %
32.5 %≈ 38′Empathy61 %49 %56 %20 %
37.5 %≈ 44′Sadness61 %39 %43 %34 %
42.5 %≈ 50′Disturbing80 %42 %49 %70 %
47.5 %≈ 56′Disturbing86 %56 %65 %76 %
52.5 %≈ 62′Sadness78 %61 %70 %52 %
57.5 %≈ 68′Tension76 %56 %69 %45 %
62.5 %≈ 74′Tension74 %49 %61 %45 %
67.5 %≈ 80′Tension68 %45 %55 %35 %
72.5 %≈ 86′Empathy66 %50 %60 %21 %
77.5 %≈ 91′Sadness74 %63 %70 %20 %
82.5 %≈ 97′Sadness74 %66 %69 %21 %
87.5 %≈ 103′Sadness60 %56 %55 %10 %
92.5 %≈ 109′Sadness56 %54 %51 %3 %
97.5 %≈ 115′Sadness62 %60 %57 %3 %
Man in a hole

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

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Afterward Reveal viewer responses · may contain spoilers

Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

DZ
Darya Zhovner

AC
Atrem Cipin

OD
Olga Dragunova

Adina Koft

NZ
Nazir Zhukov

VK
Veniamin Kac

David Koft

TS
Timur Shidginov

Tima

AL
Anna Levit

Leya

ES
Evgeniy Sannikov

Zhenya

AT
Artyom Tsypin

Avi Koft

VM
Vladimir Mikhelson

Rabbi

ES
Egor Shevyakov

Dancing Guy

OK
Oksana Karpenko

AZ
Alexander Zolotukhin

VB
Vladimir Bitokov

Details

Directed by
Kantemir Balagov
Written by
Kantemir Balagov, Anton Yarush
Type
Movies
Released
2017
Runtime
118 min
Country
Russia
Genres
Drama
Ratings
★ IMDb 6.8 · 3,509 ratings
Feels mostly
Sadness
Data updated

Where to watch

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.